↓ Skip to main content

BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors

Overview of attention for article published in Genetics in Medicine, January 2019
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 2,970)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
35 news outlets
blogs
8 blogs
twitter
118 X users
facebook
5 Facebook pages

Citations

dimensions_citation
456 Dimensions

Readers on

mendeley
493 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors
Published in
Genetics in Medicine, January 2019
DOI 10.1038/s41436-018-0406-9
Pubmed ID
Authors

Andrew Lee, Nasim Mavaddat, Amber N. Wilcox, Alex P. Cunningham, Tim Carver, Simon Hartley, Chantal Babb de Villiers, Angel Izquierdo, Jacques Simard, Marjanka K. Schmidt, Fiona M. Walter, Nilanjan Chatterjee, Montserrat Garcia-Closas, Marc Tischkowitz, Paul Pharoah, Douglas F. Easton, Antonis C. Antoniou

X Demographics

X Demographics

The data shown below were collected from the profiles of 118 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 493 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 493 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 71 14%
Student > Ph. D. Student 53 11%
Student > Master 52 11%
Student > Bachelor 42 9%
Other 25 5%
Other 81 16%
Unknown 169 34%
Readers by discipline Count As %
Medicine and Dentistry 107 22%
Biochemistry, Genetics and Molecular Biology 80 16%
Agricultural and Biological Sciences 28 6%
Computer Science 22 4%
Nursing and Health Professions 17 3%
Other 57 12%
Unknown 182 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 385. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 October 2023.
All research outputs
#81,204
of 25,837,817 outputs
Outputs from Genetics in Medicine
#12
of 2,970 outputs
Outputs of similar age
#1,634
of 467,632 outputs
Outputs of similar age from Genetics in Medicine
#1
of 69 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,970 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.2. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 467,632 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.